1 research outputs found
Sparse Impulse Noise Minimization in UWB Communication using Signal Characteristics
In many applications, ultra-wide band (UWB) system experiences impulse noise
due to surrounding physical noise sources. Therefore, a conventional receiver
(correlator or matched filter) designed for additive Gaussian noise system is
not optimum for an impulse noise affected communication channel. In this paper,
we propose a new robust receiver design that utilizes the received UWB signal
cluster sparsity to mitigate impulse noise. Further, multipath channel
diversity enhances the signal-to-noise ratio, as compared to the single path
after impulse noise removal in the proposed receiver design. The proposed
receiver is analyzed in time hopping binary phase shift keying UWB system and
is compared with popular blanking non-linearity based receiver in
Bernoulli-Gaussian impulse noise over both single and multipath IEEE 802.15.4a
channels. Unlike existing designs, the proposed receiver does not require any
training sequence. The proposed receiver is observed to be robust with improved
bit error rate performance as compared to a blanking receiver in the presence
of impulse noise